Online edition: ISSN 2432-6380
[TOP] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [Japanese] / [English]
NC2018-44
The percussion instruments separation method using the Deep U-Net
Yosuke Ito, Kuroyanagi Susumu (NIT)
pp. 1 - 6
NC2018-45
Audiovisual synchrony perception for music and body movement
-- An experimental study on Radio Calisthenics --
Akira Takehana, Tsukasa Uehara, Yutaka Sakaguchi (UEC)
pp. 7 - 12
NC2018-46
Evaluation of Motor Learning of Drumming Performance with Assistance Using Negative Binomial Distribution
Yuya Takaki, Eiichi Inohira, Tomohiro Shibata (Kyutech)
pp. 13 - 18
NC2018-47
Reduction of Catastrophic Forgetting using Pseudorehearsal and Importance of Weight
Shunta Nakano, Motonobu Hattori (Univ. of Yamanashi)
pp. 19 - 24
NC2018-48
Transition of informative areas in the human brain during haptic shape recognition of real objects
Shota Eto (UEC), Hironori nakatani (UTokyo), Yoichi Miyawaki (UEC)
pp. 25 - 30
NC2018-49
The effect of stress on human emotion control
Yukihiro Suzuki (NAIST), Saori Tanaka (ATR)
pp. 31 - 36
NC2018-50
Impact of cognitive strategies on hitting task
Akemi Kobayashi, Toshitaka Kimura (NTT)
pp. 37 - 42
NC2018-51
Adjustment of exploratory behavior using mutual information in reinforcement learning
Kaiji Koyama, Jun Ohkubo (Saitama Univ.)
pp. 43 - 47
NC2018-52
Numerical experiments of QUBO formulation for ReLU-type functions
Go Sato (Saitama Univ.), Makiko Koreshima, Takuya Owa, Hirotaka Tamura (Fujitsu Labs), jun Ohkubo (Saitama Univ.)
pp. 49 - 54
NC2018-53
The way of Automatic Extraction of Human activity from motion video and Simulation method of extracted human activity by using Deep Learning
Kenichi Koike, Hiroki Satou, Daiji Ogasawara (MDIS)
pp. 55 - 60
NC2018-54
Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution
Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.)
pp. 61 - 66
NC2018-55
A Basic Study of Noise Reduction on the Analysis of Burst Gravitational Waves by the Direct and Parallel Denoising Autoencoder
Hiroyuki Hayashi, Kazuki Sakai (NIT), Hirotaka Takahashi (NUT), Yuto Omae (NIT)
pp. 67 - 71
NC2018-56
Statistical Mechanical Analysis of a Perceptron with a Softmax Output Function
Yukihiro Tsuboshita, Takashi Sonoda (Fuji Xerox)
pp. 73 - 78
NC2018-57
A study of the Multi Resolution CONP using variable time constants for time series signals
Haruka Kato, Susumu Kuroyanagi (NIT)
pp. 79 - 84
NC2018-58
Automatic Analysis of Calcium Imaging Data with Deep Learning
Naoya Mamada, Toru Aonishi (Titech)
p. 85
NC2018-59
Variational Bayes algorithm of region base coupled MRF with hidden phase variables
Naoki Wada (Tokyo Inst. of Tech.), Masaichiro Mizumaki (JASRI), Yoshiki Seno (Saga prefectural regional industry support center), Masato Okada (The Univ. of Tokyo), Akai Ichiro (Kumamoto Univ.), Toru Aonishi (Tokyo Inst. of Tech.)
pp. 87 - 92
NC2018-60
Proposal of an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato (Tohoku Univ.)
p. 93
NC2018-61
Application of dynamic binary neural networks to central pattern generators
Shota Anzai, shunsuke aoki, seitaro koyama, Toshimichi Saito (HU)
pp. 95 - 98
NC2018-62
Towards understandable deep learning in stacked autoencoders
Masumi Ishikawa (Kyutech)
pp. 99 - 104
NC2018-63
Novel Backpropagation Algorithm Considering Energy
Rintaro Kanada, Masafumi Hagiwara (Keio Univ.)
pp. 105 - 110
NC2018-64
Neuron-Pruning Algorithm For Neural Network Considering Activation Values
Masahiro Yamada, Masafumi Hagiwara (Keio Univ.)
pp. 111 - 116
NC2018-65
Reservoir computing devices that realize pattern information representation and processing directly in physics: Its advantages
Akira Hirose, Gouhei Tanaka (Tokyo Univ.), Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, JeanBenoit Heroux, Daiju Nakano (IBM Japan), Ryosho Nakane (Tokyo Univ.)
pp. 117 - 120
NC2018-66
Spatial distribution of effective information in spin-wave reservoir computing
Takehiro Ichimura, Ryosho Nakane, Gohei Tanaka, Akira Hirose (The Univ. of Tokyo)
pp. 121 - 126
NC2018-67
Unsupervised blind source separation using self conditioned entropy minimization
Yuan-chieh Ling, Toshitake Asabuki (UTokyo), Tomoki Fukai (RIKEN CBS)
pp. 127 - 129
NC2018-68
[Invited Talk]
The here and now in the default mode network
Shigeru Kitazawa (Osaka Univ.)
p. 131
NC2018-69
Application of phase information and complex-valued self-organizing map for C-scan analysis in radar imaging
Soshi Shimomura, Akira Hirose (UTokyo)
pp. 133 - 137
NC2018-70
Construction of a microwave search-and-rescue radar system based on online frequency-domain complex-valued independent component analysis
Takahiro Nakanishi, Akira Hirose (Tokyo Univ.)
pp. 139 - 143
NC2018-71
Quantitative evaluation of discriminability between natural texture images by neural populations in visual cortex using L1-logistic regression
Rina Kotani (Osaka Univ.), Hiroko Ichikawa (Tokyo University of Science), Yasuhiko Igarashi (JST/Tokyo Univ.), Yoh-ichi Mototake, Masato Okada (Tokyo Univ.), Hiroshi Tamura (Osaka Univ./CiNet)
pp. 145 - 150
NC2018-72
Performance improvement of fNIRS-BCI using generative adversarial networks
Tomoyuki Nagasawa (Nagaoka Univ. of Tech.), Takanori Sato (National Inst. of Tech., Akita Col.), Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.)
pp. 151 - 156
NC2018-73
Functional verification of human inference system based on a value driven associative memory
Masahiro Miyata, Takashi Omori (Tamagawa Univ)
pp. 157 - 162
NC2018-74
Detecting the Number of Compartments Using Convolutional Neural Network
Takayuki Koga, Yuta Takahashi, Shuntaro Okazaki, Rieko Osu (Waseda Univ.)
pp. 163 - 168
NC2018-75
Effectiveness of 3D shape learning for spine segmentation task using U-Net
Naofumi Shigeta, Mikoto Kamarta, Masayuki Kikuchi (TUT)
pp. 169 - 174
NC2018-76
Decoding of stimulus orientations from neuron populations in Cat visual cortex
-- effect of spike count correlation --
Reo Kouno, Yoshiya Mori, Hiroyuki Ito (Kyoto Sangyo Univ.)
pp. 175 - 180
NC2018-77
The receptive-field structure of figure-ground preference cells in monkey V4
Koji Kimura (Tsukuba Univ.), Yukako Yamane, Hiroshi Tamura (Osaka Univ.), Ko Sakai (Tsukuba Univ.)
pp. 181 - 185
NC2018-78
Mathematical Model for Simulating Human Foot-Lifting Movements onto One-Up Stair-Step
Akihiko Ueki, Shu Kitabatake, Toshikazu Matsui (Gunma Univ.)
pp. 187 - 192
NC2018-79
Facilitating optimal motor decesion making via competition with risk-averse opponent
Mamoru Tanae (TUAT), Keiji Ota (NYU), Ken Takiyama (TUAT)
pp. 193 - 198
NC2018-80
(See Japanese page.)
pp. 199 - 204
NC2018-81
Evaluation of the predictive optokinetic response in humans
Yuta Matsuzawa, Yutaka Hirata (Chubu Univ.)
p. 205
NC2018-82
The effect of cerebellectomy on VOR during combinations of tilt and translation in goldfish
Masanori Nakano, Yutaka Hirata (Chubu Univ.)
p. 207
NC2018-83
Efficient Learning for Distillation of DNN by Self Distillation
Jumpei Takagi, Motonobu Hattori (Univ of Yamanashi)
pp. 209 - 214
NC2018-84
A Pattern Recognition Model by Feature Extraction and Viewpoint Control using Auto-Encoder
Shota Shirakawa, Fukumura Naohiro (Toyohashi Univ. of Tech.)
pp. 215 - 220
NC2018-85
PET Image Reconstruction by use of Dictionary Learning
Naohiro OKumura, Hayaru Shouno (UEC)
pp. 221 - 226
NC2018-86
Examination of Super Resolution and Noise Removal for MicroCT Image
Miku Mashimo, Hayaru Shouno (UEC)
pp. 227 - 232
NC2018-87
Study on data augmentation using Fourier transform for texture image classification
Daigo Nitta, Hayaru Shouno (UEC)
pp. 233 - 238
NC2018-88
A study of inner feature continuity of the VGG model
Toya Teramoto, Hyaru Shouno (UEC)
pp. 239 - 244
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.